📦 Convert to Python Package

Author: ramesaliyev

.gitignore

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-__pycache__
+__pycache__
+*.pyc
+*.egg-info
+dist
+build

LICENSE

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+# Numerica
+[![PyPI version](https://badge.fury.io/py/numerica.svg)](https://badge.fury.io/py/numerica)
+
+My own experimental implementations of numerical methods as homework.
+
+# Examples
+## Solving Nonlinear Equations
+### Graph Method
+    import numerica as n
+
+    fn = n.fnx(degree=2, coefficients=[5, -6, 1], baseExp=1) # (x^2 - 6x + 5)^1
+
+    root1 = n.graph(fn=fn, dx=1, epsilon=0.1, x=0)
+    root2 = n.graph(fn=fn, dx=1, epsilon=0.1, x=2)
+
+    print(root1, root2) # 1, 5
+
+# Testing Package
+##### Test Directly as Script
+    python3.8 -m numerica
+##### or Install Local Package
+    pip3.8 install .
+##### and Test It from REPL
+    import numerica
+    numerica.utils.function.fnx(2, [5, -6, 1], 1, 5) == 0
+
+# Uploading to PyPI
+##### Install Twine
+    pip3.8 install twine
+##### Build
+    rm -rf build & rm -rf dist & rm -rf numerica.egg-info
+    python3.8 setup.py sdist bdist_wheel
+##### Upload
+    twine upload dist/*

README.md

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+from .utils import function
+from .utils.function import fnx
+from .nonlinear.graph import graph

graph_cli.py

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+from .utils.function import fnx
+
+print('Welcome to Numerica!')
+
+# Test
+print(fnx(2, [5, -6, 1], 1)(5) == 0)

graph_examples.py

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+from functools import partial
+
+def _fnx(degree, coefficients, baseExp, x):
+  result = 0
+
+  for exp in range(0, degree + 1):
+    result += coefficients[exp] * (x ** exp)
+
+  return result ** baseExp
+
+def fnx(degree, coefficients, baseExp):
+  return partial(_fnx, degree, coefficients, baseExp)

numerica/__init__.py

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+from setuptools import setup, find_packages
+
+long_description = ''
+
+with open('README.md', 'r') as fh:
+  long_description = fh.read()
+
+setup(
+  name='numerica',
+  version='0.1.4',
+  description='Numerical Analysis methods with Python (experimental)',
+  long_description=long_description,
+  long_description_content_type='text/markdown',
+  url='http://github.com/ramesaliyev/numerica',
+  author='Rames Aliyev',
+  author_email='[email protected]',
+  license='MIT',
+  packages=find_packages(),
+  zip_safe=False)